Graph simultaneous embedding tool, graphSET

Alejandro Estrella-Balderrama, J. Joseph Fowler, Stephen G. Kobourov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Problems in simultaneous graph drawing involve the layout of several graphs on a shared vertex set. This paper describes a Graph Simultaneous Embedding Tool, GraphSET, designed to allow the investigation of a wide range of embedding problems. GraphSET can be used in the study of several variants of simultaneous embedding including simultaneous geometric embedding, simultaneous embedding with fixed edges and colored simultaneous embedding with the vertex set partitioned into color classes. The tool has two primary uses: (i) studying theoretical problems in simultaneous graph drawing through the production of examples and counterexamples and (ii) producing layouts of given classes of graphs using built-in implementations of known algorithms. GraphSET along with movies illustrating its utility are available at http://graphset.cs.arizona.edu.

Original languageEnglish (US)
Title of host publicationGraph Drawing - 16th International Symposium, GD 2008, Revised Papers
Pages169-180
Number of pages12
DOIs
StatePublished - Aug 20 2009
Event16th International Symposium on Graph Drawing, GD 2008 - Heraklion, Crete, Greece
Duration: Sep 21 2008Sep 24 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5417 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Symposium on Graph Drawing, GD 2008
CountryGreece
CityHeraklion, Crete
Period9/21/089/24/08

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Estrella-Balderrama, A., Fowler, J. J., & Kobourov, S. G. (2009). Graph simultaneous embedding tool, graphSET. In Graph Drawing - 16th International Symposium, GD 2008, Revised Papers (pp. 169-180). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5417 LNCS). https://doi.org/10.1007/978-3-642-00219-9-17